Papers
Sun 27 Apr 2025
124 papers
- A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and ProspectsLLM reasoning → Knowledge- and tool-augmented reasoning
- Keep the General, Inject the Specific: Structured Dialogue Fine-Tuning for Knowledge Injection without Catastrophic ForgettingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented GenerationRetrieval-augmented generation → Conversational and speech RAG
- SAGA: A Security Architecture for Governing AI Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Forging and Removing Latent-Noise Diffusion Watermarks Using a Single ImageDiffusion models → Robustness, privacy and adversarial aspects +1
- Swapped Logit Distillation via Bi-level Teacher AlignmentKnowledge distillation → General knowledge distillation methods
- Adaptive Helpfulness-Harmlessness Alignment with Preference VectorsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- PlanetServe: A Decentralized, Scalable, and Privacy-Preserving Overlay for Democratizing Large Language Model ServingEfficient LLM inference and serving → Serving systems and request scheduling
- HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural NetworksDeep reinforcement learning methods → Deep RL algorithms and representations
- O(1/k) Finite-Time Bound for Non-Linear Two-Time-Scale Stochastic ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- Contextual Online Uncertainty-Aware Preference Learning for Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Unified Multi-Task Learning & Model Fusion for Efficient Language Model GuardrailingLLM safety and security → Safety alignment, refusal and guardrails
- AndroidGen: Building an Android Language Agent under Data ScarcityLLM agents and tool use → GUI and mobile agents
- Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function CallingLLM agents and tool use → Tool learning and function calling +1
- Anyprefer: An Agentic Framework for Preference Data SynthesisLLM agents and tool use → Reinforcement learning for LLM agents +1
- The Convergent Ethics of AI? Analyzing Moral Foundation Priorities in Large Language Models with a Multi-Framework ApproachLLM reasoning → Reasoning benchmarks and evaluation
- WuNeng: Hybrid State with AttentionEfficient LLM inference and serving → KV cache optimization
- Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- IM-Portrait: Learning 3D-aware Video Diffusion for Photorealistic Talking Heads from Monocular VideosDiffusion models → Audio, speech and music
- SPC: Evolving Self-Play Critic via Adversarial Games for LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- ChiseLLM: Unleashing the Power of Reasoning LLMs for Chisel Agile Hardware DevelopmentLLM reasoning → Reasoning for agents, planning and code
- BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Efficient Reasoning for LLMs through Speculative Chain-of-ThoughtLLM reasoning → Test-time compute and efficient thinking
- CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography ChallengesLLM reasoning → Reasoning for agents, planning and code
- Learning to Drive from a World ModelWorld models → World models for autonomous driving +1
- Supervised machine learning based signal demodulation in chaotic communications
- Low-Complexity CNN-Based Classification of Electroneurographic Signals
- Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment
- Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality
- Selecting the Right LLM for eGov Explanations
- Supervised Pretraining for Material Property Prediction
- Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling
- Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems
- Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers
- An on-production high-resolution longitudinal neonatal fingerprint database in Brazil
- Heterogeneous network drug-target interaction prediction model based on graph wavelet transform and multi-level contrastive learning
- HyboWaveNet: Hyperbolic Graph Neural Networks with Multi-Scale Wavelet Transform for Protein-Protein Interaction Prediction
- LLMs for Engineering: Teaching Models to Design High Powered Rockets
- Ridge partial correlation screening for ultrahigh-dimensional data
- Bi-directional Model Cascading with Proxy Confidence
- HumMorph: Generalized Dynamic Human Neural Fields from Few Views
- From Inductive to Deductive: LLMs-Based Qualitative Data Analysis in Requirements Engineering
- From Distance to Direction: Structure-aware Label-specific Feature Fusion for Label Distribution Learning
- Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models
- Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis
- Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
- Low-Rank Adaptive Structural Priors for Generalizable Diabetic Retinopathy Grading
- MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
- Metric Similarity and Manifold Learning of Circular Dichroism Spectra of Proteins
- Neurosymbolic Association Rule Mining from Tabular Data
- Flow Along the K-Amplitude for Generative Modeling
- The Double Descent Behavior in Two Layer Neural Network for Binary Classification
- Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentation
- PolyTouch: A Robust Multi-Modal Tactile Sensor for Contact-rich Manipulation Using Tactile-Diffusion Policies
- Explanatory Summarization with Discourse-Driven Planning
- Enhancing seeding efficiency using a computer vision system to monitor furrow quality in real-time
- DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding
- NSFlow: An End-to-End FPGA Framework with Scalable Dataflow Architecture for Neuro-Symbolic AI
- Logic-Based Artificial Intelligence Algorithms Supporting Categorical Semantics
- BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese
- Myocardial Region-guided Feature Aggregation Net for Automatic Coronary artery Segmentation and Stenosis Assessment using Coronary Computed Tomography Angiography
- FusionNet: Multi-model Linear Fusion Framework for Low-light Image Enhancement
- Marine Snow Removal Using Internally Generated Pseudo Ground Truth
- Ethical Challenges of Using Artificial Intelligence in Judiciary
- Optimal Hyperspectral Undersampling Strategy for Satellite Imaging
- Balancing Creativity and Automation: The Influence of AI on Modern Film Production and Dissemination
- TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
- Leveraging Multi-Modal Saliency and Fusion for Gaze Target Detection
- VI3NR: Variance Informed Initialization for Implicit Neural Representations
- VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?
- OpenFusion++: An Open-vocabulary Real-time Scene Understanding System
- Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions
- Rendering Anywhere You See: Renderability Field-guided Gaussian Splatting
- Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence
- OPAL: Visibility-aware LiDAR-to-OpenStreetMap Place Recognition via Adaptive Radial Fusion
- LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition
- Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers
- Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception
- ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
- Semantic-Aligned Learning with Collaborative Refinement for Unsupervised VI-ReID
- The effect of the number of parameters and the number of local feature patches on loss landscapes in distributed quantum neural networks
- Test Set Sizing for the Ridge Regression
- Unsupervised 2D-3D lifting of non-rigid objects using local constraints
- CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
- CapsFake: A Multimodal Capsule Network for Detecting Instruction-Guided Deepfakes
- FlexPara: Flexible Neural Surface Parameterization
- Dynamic Embedded Topic Models: properties and recommendations based on diverse corpora
- Improving Generalization in MRI-Based Deep Learning Models for Total Knee Replacement Prediction
- Leveraging Modified Ex Situ Tomography Data for Segmentation of In Situ Synchrotron X-Ray Computed Tomography
- Learning to Rank Critical Road Segments via Heterogeneous Graphs with Origin-Destination Flow Integration
- Adaptive Dual-domain Learning for Underwater Image Enhancement
- Generative Adversarial Network based Voice Conversion: Techniques, Challenges, and Recent Advancements
- Sketch2Anim: Towards Transferring Sketch Storyboards into 3D Animation
- Hierarchical Attention Generates Better Proofs
- LRFusionPR: A Polar BEV-Based LiDAR-Radar Fusion Network for Place Recognition
- A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption
- Newton-Puiseux Analysis for Interpretability and Calibration of Complex-Valued Neural Networks
- CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe Generation
- RadioFormer: A Multiple-Granularity Radio Map Estimation Transformer with 1textpertenthousand Spatial Sampling
All 124
- Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations
- A Dynamic Fuzzy Rule and Attribute Management Framework for Fuzzy Inference Systems in High-Dimensional Data
- Global Climate Model Bias Correction Using Deep Learning
- Reliable Thermal Monitoring of Electric Machines through Machine Learning
- Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
- PAD: Phase-Amplitude Decoupling Fusion for Multi-Modal Land Cover Classification
- DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal Learning
- Blind Source Separation Based on Sparsity
- Toward AI standardization: A triadic human-ai collaboration framework for multi-level autonomous mobility
- Towards Latency-Aware 3D Streaming Perception for Autonomous Driving
- Inverse-Transpilation: Reverse-Engineering Quantum Compiler Optimization Passes from Circuit Snapshots
- APE-Bench: Evaluating Automated Proof Engineering for Formal Math Libraries
- Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
- VeriDebug: A Unified LLM for Verilog Debugging via Contrastive Embedding and Guided Correction
- Boosting Single-domain Generalized Object Detection via Vision-Language Knowledge Interaction
- SD-KDE: Score-Debiased Kernel Density Estimation
- MIA-Mind: A Multidimensional Interactive Attention Mechanism Based on MindSpore
- HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease
- Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype
- Sample-Efficient Language Model for Hinglish Conversational AI
- ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics
- Versatile Framework for Song Generation with Prompt-based Control
- Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models
- Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions